Digital connectivity composite index in South Asia
South Asia: Digital connectivity composite index was -1.02 standard deviations from the yearly mean in 2025. ▲ Rising
Digital connectivity composite index in South Asia, 2001–2025
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2025, digital connectivity composite index in South Asia stood at -1.02 standard deviations from the yearly mean. That is the lowest value across all 25 years on record.
Compared with earlier readings it is down 52.7% on the previous year and down 52.9% over ten years.
Over the whole period, digital connectivity composite index in South Asia peaked at -0.5634 standard deviations from the yearly mean in 2017 and was at its lowest, -1.02 standard deviations from the yearly mean, in 2025.
That places South Asia 41st out of 45 groups with data for 2025, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 25 years of available data.
Digital connectivity composite index in South Asia, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 2001 | -0.6453 standard deviations from the yearly mean | — |
| 2002 | -0.6945 standard deviations from the yearly mean | +7.6% |
| 2003 | -0.7365 standard deviations from the yearly mean | +6.0% |
| 2004 | -0.8107 standard deviations from the yearly mean | +10.1% |
| 2005 | -0.8096 standard deviations from the yearly mean | -0.1% |
| 2006 | -0.8353 standard deviations from the yearly mean | +3.2% |
| 2007 | -0.8382 standard deviations from the yearly mean | +0.4% |
| 2008 | -0.846 standard deviations from the yearly mean | +0.9% |
| 2009 | -0.8105 standard deviations from the yearly mean | -4.2% |
| 2010 | -0.6142 standard deviations from the yearly mean | -24.2% |
| 2011 | -0.6101 standard deviations from the yearly mean | -0.7% |
| 2012 | -0.6615 standard deviations from the yearly mean | +8.4% |
| 2013 | -0.6791 standard deviations from the yearly mean | +2.7% |
| 2014 | -0.6795 standard deviations from the yearly mean | +0.1% |
| 2015 | -0.6653 standard deviations from the yearly mean | -2.1% |
| 2016 | -0.633 standard deviations from the yearly mean | -4.9% |
| 2017 | -0.5634 standard deviations from the yearly mean | -11.0% |
| 2018 | -0.6223 standard deviations from the yearly mean | +10.4% |
| 2019 | -0.6253 standard deviations from the yearly mean | +0.5% |
| 2020 | -0.605 standard deviations from the yearly mean | -3.3% |
| 2021 | -0.5738 standard deviations from the yearly mean | -5.1% |
| 2022 | -0.5859 standard deviations from the yearly mean | +2.1% |
| 2023 | -0.6475 standard deviations from the yearly mean | +10.5% |
| 2024 | -0.6661 standard deviations from the yearly mean | +2.9% |
| 2025 | -1.02 standard deviations from the yearly mean | +52.7% |
Biggest year-on-year movements
Years where Digital connectivity composite index in South Asia changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2025 | -52.7% | -0.6661 standard deviations from the yearly mean | -1.02 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | -0.7807 standard deviations from the yearly mean | -0.846 standard deviations from the yearly mean | -0.6453 standard deviations from the yearly mean | 9 |
| 2010s | -0.6354 standard deviations from the yearly mean | -0.6795 standard deviations from the yearly mean | -0.5634 standard deviations from the yearly mean | 10 |
| 2020s | -0.6826 standard deviations from the yearly mean | -1.02 standard deviations from the yearly mean | -0.5738 standard deviations from the yearly mean | 6 |
Countries ranked near South Asia
- 38 Slovenia 0.5806 standard deviations from the yearly mean compare
- 39 Lithuania 0.5765 standard deviations from the yearly mean compare
- 40 Belgium 0.5739 standard deviations from the yearly mean compare
- 41 Israel 0.5711 standard deviations from the yearly mean compare
- 42 San Marino 0.5605 standard deviations from the yearly mean compare
- 43 Slovakia 0.5471 standard deviations from the yearly mean compare
- 44 New Zealand 0.5409 standard deviations from the yearly mean compare
More science & technology data for South Asia
- Scientific and technical journal articles 240,481 (2023)
- Scientific and technical journal articles, per capita 0.0001 units per person (2023)
- Scientific and technical journal articles, per unit of GDP 0 units per US$ of GDP (2023)
- Scientific and technical journal articles, per square kilometre 0.0719 units per square kilometre (2023)
- Scientific and technical journal articles, annual growth rate 13.41 % change on previous year (2023)
- Patent applications, nonresidents 34,811 (2020)
- Patent applications, residents 23,872 (2020)
- Research and development expenditure 0.6% (2020)
- Researchers in R&D 256.82 per million people (2020)
- Technicians in R&D 73.06 per million people (2018)
Frequently asked questions
- What is digital connectivity composite index in South Asia?
- Digital connectivity composite index in South Asia was -1.02 standard deviations from the yearly mean in 2025, according to Statizoid (derived).
- What is the highest digital connectivity composite index recorded in South Asia?
- The highest recorded value was -0.5634 standard deviations from the yearly mean in 2017.
- What is the lowest digital connectivity composite index recorded in South Asia?
- The lowest recorded value was -1.02 standard deviations from the yearly mean in 2025.
- How does South Asia rank for digital connectivity composite index?
- South Asia ranks 41st out of 45 groups with data for 2025.
- Is digital connectivity composite index rising or falling in South Asia?
- Over the last ten years it is down 52.9%. The long-run trend across the full record is rising.
- Where does this South Asia data come from?
- The figures come from Statizoid (derived), published as part of Digital connectivity composite index. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 25 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
An equal-weighted index of 4 indicators: Proportion of individuals using the Internet; Mobile cellular subscriptions; Fixed broadband subscriptions; Secure Internet servers. Each is standardised against that year's spread across all reporting countries before averaging, so a score of 0 is the average country and +1 is one standard deviation above it.
Equal-weighted mean of the standardised inputs below.
Computed from
- Proportion of individuals using the Internet United Nations Statistics Division, SDG Global Database
- Mobile cellular subscriptions World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU)
- Fixed broadband subscriptions World Telecommunication/ICT Indicators Database, International Telecommunication Union (ITU)
- Secure Internet servers Secure Server Survey, Netcraft
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
An equal-weighted index of 4 indicators: Proportion of individuals using the Internet; Mobile cellular subscriptions; Fixed broadband subscriptions; Secure Internet servers. Each is standardised against that year's spread across all reporting countries before averaging, so a score of 0 is the average country and +1 is one standard deviation above it.